DeepLearning

Created this repository to implement the very underlying mathematical concepts.

I ihave implemented from very basic McCullouh-Pit's Neuron to Encoder-Decoder models.

Viewing them in colab would be appretiated :)

Sequence goes :

1.Feed Forward Networks [notebook]

2.Vectorized version - FFNs [notebook]

3.Backpropagation [notebook]

4.Learning Algorithms [notebook]

5.GD Algorithms [notebook]

6.Activation and Initialization [notebook]

7.PyTorch [notebook]

8.CNNs in PyTorch [notebook]

9.Deeper CNNs [notebook]

10.CNN Visualizations [notebook]

11.BatchNorm and Dropout [notebook]

12.HyperParamter tuning MLFlow [notebook]

Name		Name	Last commit message	Last commit date
Latest commit History 31 Commits
BatchNorm_Dropoutpynb.ipynb		BatchNorm_Dropoutpynb.ipynb
BatchSeqModels.ipynb		BatchSeqModels.ipynb
CNNVisualizations.ipynb		CNNVisualizations.ipynb
EncoderDecoder_Attention.ipynb		EncoderDecoder_Attention.ipynb
FeedForawrdNetwork.ipynb		FeedForawrdNetwork.ipynb
HyperParameterTuning_MLFlow.ipynb		HyperParameterTuning_MLFlow.ipynb
LargeCNNs.ipynb		LargeCNNs.ipynb
LearningAlgorithms.ipynb		LearningAlgorithms.ipynb
NeuralNetswithPyTorch.ipynb		NeuralNetswithPyTorch.ipynb
PyTorch.ipynb		PyTorch.ipynb
PyTorchCNN.ipynb		PyTorchCNN.ipynb
README.md		README.md
RNNs.ipynb		RNNs.ipynb
ScalarBackpropagation.ipynb		ScalarBackpropagation.ipynb
VectorizedFeedForwardNetowrks.ipynb		VectorizedFeedForwardNetowrks.ipynb
VectorizedGDAlgos.ipynb		VectorizedGDAlgos.ipynb
Weight_Initialization_Activation_Functions.ipynb		Weight_Initialization_Activation_Functions.ipynb

Provide feedback